Test Architect - AI
Fractal Analytics · Hyderabad · onsite · Posted 63d ago
Not disclosed15–19 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Requirements:
- 14 to 19 years of software testing experience.
- 8+ years of experience working as a QA engineer or in a similar capacity.
- Must have experience in ETL testing and creating data pipelines.
- Excellent experience in Python and SQL scripting.
- Expert in automation testing and creating end-to-end use cases.
- Knowledge of QA methodologies, tools, and techniques.
- Knowledge of DevOps principles.
- Experience working in an Agile environment.
- Excellent communication skills and ability to work with different stakeholders to improve the company's procedures and to ensure the vision is communicated clearly.
- Previous experience as a test automation engineer at various development stages and integrating with CI/CD pipelines (e. g., unit, integration, and load tests).
- Experience with testing PySpark code and API testing.
- Experience with test automation frameworks (Python BDD).
- Experience with Docker containers.
- Experience in validating AI/ML models for accuracy, bias detection, and performance monitoring.
- Knowledge of AI-driven test automation platforms and their integration with CI/CD pipelines.
- Analytical thinking, problem-solving skills, and attention to detail.
- QA management experience.
- Experience working with professional software engineering practices and best practices for the full software development life cycle.
- Experience improving product test coverage and effectiveness.
- Experience in Selenium Automation testing using Python and Pytest.
Sourced from instahyre
Skills
DockerpytestSDETPythonSQLQuality AssuranceAPI TestingAutomation TestingSeleniumETLAgentic AiGenerative AiCi/CdMachine Learning
About Fractal Analytics

Fractal Analytics
Analytics & KPO
5.2k+
employees
2000
26 years old
Mumbai, Maharashtra
India
About
Fractal Analytics helps global Fortune 100 companies power every human decision in the enterprise by bringing analytics and AI to the decision.
Industries
Analytics & KPOInternet
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1,046 reviews
4.0/ 5
Culture
4.1
Career growth
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4.0
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